An Unique Technique for Grape Leaf Disease Detection

Authors(2) :-Prathamesh. K. Kharde, Hemangi. H. Kulkarni

In this paper the grape fungal diseases are detected and classified according to their features with the help of Digital Image Processing algorithms. An embedded system is used for implementing the image processing application. A plug & play Instrument Raspberry Pi 2 is utilized in multiple applications directly. India being an agro-based economy, farmers experience lots of problems in detecting and preventing diseases in fauna. Due to global warming there is change in environment which affects plants specially diseases which grow on plant. Image processing algorithms such as edge detection, RGB to grayscale conversion,Otsuís algorithm and watershed segmentation are implemented. This device will store input & output files on inbuilt memory cards hence external application can access it using memory address or simple file path. This tool can be used to detect various diseases in grapevine leafs & will show the result as a disease present on leaf along with its name and will suggest the related remedies.

Authors and Affiliations

Prathamesh. K. Kharde
Department of Electronics and Telecommunication, GES R.H Sapat College of Engineering, Nashik-5, Maharashtra, India
Hemangi. H. Kulkarni
Department of Electronics and Telecommunication, GES R.H Sapat College of Engineering, Nashik-5, Maharashtra, India

Embedded System,;Plug And Play; Raspberry Pi; RGB to Grayscale Conversion; Grape Leaf Disease

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 343-348
Manuscript Number : IJSRSET162496
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Prathamesh. K. Kharde, Hemangi. H. Kulkarni, " An Unique Technique for Grape Leaf Disease Detection, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.343-348, July-August-2016.
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